Four short links: 3 October 2016
Deep-Fried Data, Myth History, Shadow Regulation, and Inside an AI Startup
Deep-Fried Data, Myth History, Shadow Regulation, and Inside an AI Startup
Data from Word, Bot Personalities, Secure Hardware, and Launch Checklist
Watch highlights covering data science, big data, data in the enterprise, and more. From Strata + Hadoop World in New York 2016.
Cloudera CEO Tom Reilly and Nielsen Global CTO James Powell discuss the dynamics of Hadoop in the cloud, what to consider at the start of the journey, and how to implement a solution that delivers flexibility and meets enterprise requirements.
Alistair Croll looks at the sometimes surprising ways that machine learning is insinuating itself into our every day lives.
Mar Cabra explains how technology made the Panama Papers investigation possible.
DJ Patil and Lynn Overmann offer a look at how data science and open data are put to use by the White House.
What explains the gap between what machines do well and what people do well? And what needs to happen before machines can match the flexibility and power of human cognition?
The success of the Amazon Echo’s speech interface shows there's an opportunity for someone to build a completely new mobile operating system.
The O’Reilly Bots Podcast: Group interaction through social computing.
AI and Anthropology, 3D Screen, Move to New Zealand, and Kano 2
Mike Olson discusses the new dynamics of big data and how a renewed approach focused on where, who, and why can lead to cutting edge solutions.
Susan Woodward discusses venture outcomes—what fraction make lots of money, which just barely return capital, and which fraction fail completely
Sriram Vishwanath outlines areas where data science can have a significant impact on health care, and dispels myths where data science use contradicts realities within the health care ecosystem.
Offline First, Machine Translation, Kernel Security, and Javascript Maps
Watch highlights covering artificial intelligence, machine learning, intelligence engineering, and more. From the O'Reilly AI Conference in New York 2016.
Significant progress in AI will require breakthroughs in unsupervised/predictive learning, as well as in reasoning, attention, and episodic memory.
Gary Marcus discusses the machine-human connection.